DocumentCode
2534859
Title
Evolutionary learning strategies for cellular neural networks
Author
Kunz, R. ; Tetzlaff, R.
Author_Institution
Inst. fur Angewandte Phys., Frankfurt Univ., Germany
fYear
2000
fDate
2000
Firstpage
241
Lastpage
246
Abstract
A learning algorithm for cellular neural networks is presented based on evolutionary strategies. The proposed global optimization procedure is discussed in detail and the performance on various parameter determination problems is shown
Keywords
cellular neural nets; evolutionary computation; learning (artificial intelligence); optimisation; evolutionary learning strategies; global optimization procedure; parameter determination problems; Cellular neural networks; Concrete; Couplings; Differential equations; Feedback; Image edge detection; Image processing; Neural networks; Partial differential equations; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location
Catania
Print_ISBN
0-7803-6344-2
Type
conf
DOI
10.1109/CNNA.2000.876852
Filename
876852
Link To Document